Using multiple offspring sampling to guide genetic algorithms to solve permutation problems. - Antonio LaTorre; José María Peña Sánchez; Víctor Robles; Santiago Muelas (GECCO, 2008)

Voronoi-initializated island models for solving real-coded deceptive problems. - Santiago Muelas; José María Peña Sánchez; Víctor Robles; Antonio LaTorre (GECCO, 2008)

Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms. - Santiago Muelas; José María Peña Sánchez; Víctor Robles; Antonio LaTorre; P. de Miguel (Innovations in Hybrid Intelligent Systems, 2008)

Quality measures to adapt the participation in MOS. - Antonio LaTorre; José María Peña Sánchez; Santiago Muelas; Carlos Pascual (IEEE Congress on Evolutionary Computation, 2009)

Hybrid evolutionary algorithms for large scale continuous problems. - Antonio LaTorre; José María Peña Sánchez; Santiago Muelas; Manuel Zaforas (GECCO, 2009)

Tentative Exploration on Reinforcement Learning Algorithms for Stochastic Rewards. - Luís Peña; Antonio LaTorre; José María Peña Sánchez; Sascha Ossowski (HAIS, 2009)

A Memetic Differential Evolution Algorithm for Continuous Optimization. - Santiago Muelas; Antonio LaTorre; José María Peña Sánchez (ISDA, 2009)

A framework for hybrid dynamic evolutionary algorithms : multiple offspring sampling (MOS). - Antonio LaTorre (2009)

Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions. - Santiago Muelas; José María Peña Sánchez; Antonio LaTorre (EvoApplications (1), 2010)

Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed. - Antonio LaTorre; Santiago Muelas; José María Peña Sánchez (GECCO (Companion), 2010)

Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed. - Antonio LaTorre; Santiago Muelas; José María Peña Sánchez (GECCO (Companion), 2010)

Learning hybridization strategies in evolutionary algorithms. - Antonio LaTorre; José María Peña Sánchez; Santiago Muelas; Alex Alves Freitas (Intell. Data Anal., 2010)

A new initialization procedure for the distributed estimation of distribution algorithms. - Santiago Muelas; José María Peña Sánchez; Antonio LaTorre; Víctor Robles (Soft Comput., 2010)

Benchmarking a hybrid DE-RHC algorithm on real world problems. - Antonio LaTorre; Santiago Muelas; José María Peña Sánchez (IEEE Congress on Evolutionary Computation, 2011)

A differential evolution algorithm for the detection of synaptic vesicles. - Antonio LaTorre; Santiago Muelas; José María Peña Sánchez; Roberto Santana 001; Ángel Merchán-Pérez; José-Rodrigo Rodríguez (IEEE Congress on Evolutionary Computation, 2011)

A direct optimization approach to the P300 speller. - Roberto Santana 001; Santiago Muelas; Antonio LaTorre; José María Peña Sánchez (GECCO, 2011)

A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test. - Antonio LaTorre; Santiago Muelas; José María Peña Sánchez (Soft Comput., 2011)

Multiple Offspring Sampling in Large Scale Global Optimization. - Antonio LaTorre; Santiago Muelas; José María Peña Sánchez (IEEE Congress on Evolutionary Computation, 2012)

A new methodology for the automatic creation of adaptive hybrid algorithms. - Santiago Muelas; Antonio LaTorre; José María Peña Sánchez (Intell. Data Anal., 2012)

Large scale global optimization: Experimental results with MOS-based hybrid algorithms. - Antonio LaTorre; Santiago Muelas; José María Peña Sánchez (IEEE Congress on Evolutionary Computation, 2013)

Soft computing for content generation: Trading market in a basketball management video game. - José María Peña Sánchez; Ernestina Menasalvas Ruiz; Santiago Muelas; Antonio LaTorre; Luís Peña; Sascha Ossowski (CIG, 2013)

Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images. - Antonio LaTorre; Lidia Alonso-Nanclares; Santiago Muelas; José María Peña Sánchez; Javier DeFelipe (Expert Syst. Appl., 2013)

A variable neighborhood search algorithm for the optimization of a dial-a-ride problem in a large city. - Santiago Muelas; Antonio LaTorre; José María Peña Sánchez (Expert Syst. Appl., 2013)

Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions. - Antonio LaTorre; Santiago Muelas; José María Peña Sánchez (Memetic Comput., 2013)

Designer-driven 3D buildings generated using Variable Neighborhood Search. - José María Peña Sánchez; Javier Viedma; Santiago Muelas; Antonio LaTorre; Luís Peña (CIG, 2014)

Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior? - Santiago Muelas; Alexander Mendiburu; Antonio LaTorre; José María Peña Sánchez (Inf. Sci., 2014)

A comprehensive comparison of large scale global optimizers. - Antonio LaTorre; Santiago Muelas; José María Peña Sánchez (Inf. Sci., 2015)

A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark. - Antonio LaTorre; José-María Peña (CEC, 2017)

On the scalability of population restart mechanisms on large-scale global optimization. - Antonio LaTorre; José-María Peña (CEC, 2017)

Toolkit for the Automatic Comparison of Optimizers: Comparing Large-Scale Global Optimizers Made Easy. - Daniel Molina; Antonio LaTorre (CEC, 2018)

SHADE with Iterative Local Search for Large-Scale Global Optimization. - Daniel Molina; Antonio LaTorre; Francisco Herrera (CEC, 2018)

An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions. - Daniel Molina; Antonio LaTorre; Francisco Herrera (Cogn. Comput., 2018)

Comparing Large-Scale Global Optimization Competition winners in a real-world problem. - Daniel Molina; Arthur R. Nesterenko; Antonio LaTorre (CEC, 2019)

Fostering interpretability of data mining models through data perturbation. - Seddik Belkoura; Massimiliano Zanin; Antonio LaTorre (Expert Syst. Appl., 2019)

On The Role Of Execution Order In Hybrid Evolutionary Algorithms. - Antonio LaTorre; Daniel Molina (CEC, 2020)

Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics. - Antonio LaTorre; Daniel Molina; Eneko Osaba; Javier Del Ser; Francisco Herrera (CoRR, 2020)

Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit. - Antonio LaTorre; Man Ting Kwong; Julián A. García-Grajales; Riyi Shi; Antoine Jérusalem; José-María Peña (J. Comput. Sci., 2020)

Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers. - Pablo S. Naharro; Antonio LaTorre; José-María Peña (GECCO Companion, 2021)

3D segmentation of neuronal nuclei and cell-type identification using multi-channel information. - Antonio LaTorre; Lidia Alonso-Nanclares; José M. Peña 002; Javier DeFelipe (Expert Syst. Appl., 2021)

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms. - Antonio LaTorre; Daniel Molina; Eneko Osaba; Javier Poyatos; Javier Del Ser; Francisco Herrera (Swarm Evol. Comput., 2021)

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. - Eneko Osaba; Esther Villar-Rodriguez; Javier Del Ser; Antonio J. Nebro; Daniel Molina; Antonio LaTorre; Ponnuthurai N. Suganthan; Carlos A. Coello Coello; Francisco Herrera (Swarm Evol. Comput., 2021)

Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation. - Pablo S. Naharro; Pablo Toharia; Antonio LaTorre; José-María Peña (Swarm Evol. Comput., 2022)

Sequential Hybridization of Online Surrogate Models for Continuous Optimization. - Pablo S. Naharro; José-María Peña; Antonio LaTorre (GECCO Companion, 2023)

Evolutionary-Based Generative Design for Electric Transmission Towers. - Hugo Moreno; Pablo S. Naharro; Antonio LaTorre; José-María Peña (ICAISC (1), 2023)

Tourism destination events classifier based on artificial intelligence techniques. - Miguel Camacho-Ruiz; Ramón Alberto Carrasco; Gema Fernández-Avilés; Antonio LaTorre (Appl. Soft Comput., 2023)

Artificial Intelligence for the Future of Construction - abstract. - Ivan Izonin; José M. Peña 002; Antonio LaTorre (SMARTINDUSTRY, 2024)

Military Applications of Machine Learning: A Bibliometric Perspective. - José Javier Galán; Ramón Alberto Carrasco; Antonio LaTorre (CoRR, 2024)

Artificial Intelligence for the Future of Construction. - Ivan Izonin; Roman Tkachenko; Nataliya Shakhovska; Rosana Caro; Antonio LaTorre; Stergios Aristoteles Mitoulis (SMARTINDUSTRY, 2025)

Catalogue of construction materials for Zero Emission Buildings design based on Artificial Intelligence. - Arturo Martínez; Gloria Pérez; Antonio LaTorre; Lorena Cruz; Santiago Muelas; José-María Peña (SMARTINDUSTRY, 2025)